Lune

CVPR2025Top-tier venue

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis

Wonjoon Jin, Qi Dai, Chong Luo, Seung-Hwan Baek, Sunghyun Cho

2025Year
20Top-tier citations

Abstract

Single image Camera parameters … Optical flow maps Figure 1. (Left) Our method using optical flow enables video synthesis with complex camera movements (dolly zoom). (Right) Synthesized video frames with 'zoom-out' camera motion. X-t slice reveals pixel value changes along the red line. Our method shows natural object motion and accurate camera control, while CameraCtrl [9] produces an object without motions, and MotionCtrl [33] produces artifacts.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Cited by top-tier papers20

Ask how each one uses it

Builds on23

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines